EconPapers    
Economics at your fingertips  
 

Model and survey estimates of the term structure of US macroeconomic uncertainty

Michael Clements and Ana Galvão

International Journal of Forecasting, 2017, vol. 33, issue 3, 591-604

Abstract: Survey data on macro-forecasters suggest that their assessments of future output growth and inflation uncertainty tend to be too high. We find that model estimates of the term structure of ex ante or perceived macro uncertainty are more in line with ex post RMSE measures than are the survey respondents’ perceptions. At shorter horizons, the models’ assessments of the uncertainty characterising the outlook are lower than those indicated by the survey data histograms, and closer to the RMSE estimates. Recent developments in econometric modelling ensure that the models’ information sets line up with the timing of information available to the survey respondents, thus enabling a fair comparison.

Keywords: Ex ante uncertainty; Model uncertainty; MIDAS models (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (21)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0169207017300092
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:intfor:v:33:y:2017:i:3:p:591-604

DOI: 10.1016/j.ijforecast.2017.01.004

Access Statistics for this article

International Journal of Forecasting is currently edited by R. J. Hyndman

More articles in International Journal of Forecasting from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-23
Handle: RePEc:eee:intfor:v:33:y:2017:i:3:p:591-604